PyxLSTM is a Python library that provides an efficient and extensible implementation of the Extended Long Short-Term Memory (xLSTM) architecture. xLSTM enhances the traditional LSTM by introducing …

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Machine Learning Designs Non-Hemolytic Antimicrobial Peptides

Example implementations of common machine learning projects in chemistry.

A beautiful, simple, clean, and responsive Jekyll theme for academics

This repository implements the winning solution for the single cell perturbation problems

List of molecular design using Generative AI and Deep Learning

Awesome list of the data and AI/ML related projects with direct Life Science Companies participation

[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

HydrAMP: a deep generative model for antimicrobial peptide discovery

Deep count autoencoder for denoising scRNA-seq data

Statistical package in Python based on Pandas

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

This repository implements variational graph auto encoder by Thomas Kipf.

Python for chemoinformatics

Pytorch Lightning code guideline for conferences

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

The official sources for the RDKit library

Graph neural networks for molecular design.

Simulation-based inference in PyTorch